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Probing the consistency of cosmological contours for supernova cosmology

Published online by Cambridge University Press:  24 July 2023

P. Armstrong*
Affiliation:
Mt Stromlo Observatory, The Research School of Astronomy and Astrophysics, Australian National University, Canberra, ACT, Australia
H. Qu
Affiliation:
Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA, USA
D. Brout
Affiliation:
Department of Astronomy, Boston University, Boston, MA, USA
T. M. Davis
Affiliation:
School of Mathematics and Physics, The University of Queensland, Brisbane, QLD, Australia
R. Kessler
Affiliation:
Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL, USA Department of Astronomy and Astrophysics, University of Chicago, Chicago, IL, USA
A. G. Kim
Affiliation:
Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
C. Lidman
Affiliation:
Mt Stromlo Observatory, The Research School of Astronomy and Astrophysics, Australian National University, Canberra, ACT, Australia Centre for Gravitational Astrophysics, College of Science, The Australian National University, Canberra, ACT, Australia
M. Sako
Affiliation:
Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA, USA
B. E. Tucker
Affiliation:
Mt Stromlo Observatory, The Research School of Astronomy and Astrophysics, Australian National University, Canberra, ACT, Australia National Centre for the Public Awareness of Science, Australian National University, Canberra, ACT, Australia The ARC Centre of Excellence for All-Sky Astrophysics in 3 Dimensions (ASTRO 3D), Canberra, ACT, Australia
*
Corresponding author: P. Armstrong; Email: patrick.armstrong@anu.edu.au

Abstract

As the scale of cosmological surveys increases, so does the complexity in the analyses. This complexity can often make it difficult to derive the underlying principles, necessitating statistically rigorous testing to ensure the results of an analysis are consistent and reasonable. This is particularly important in multi-probe cosmological analyses like those used in the Dark Energy Survey (DES) and the upcoming Legacy Survey of Space and Time, where accurate uncertainties are vital. In this paper, we present a statistically rigorous method to test the consistency of contours produced in these analyses and apply this method to the Pippin cosmological pipeline used for type Ia supernova cosmology with the DES. We make use of the Neyman construction, a frequentist methodology that leverages extensive simulations to calculate confidence intervals, to perform this consistency check. A true Neyman construction is too computationally expensive for supernova cosmology, so we develop a method for approximating a Neyman construction with far fewer simulations. We find that for a simulated dataset, the 68% contour reported by the Pippin pipeline and the 68% confidence region produced by our approximate Neyman construction differ by less than a percent near the input cosmology; however, they show more significant differences far from the input cosmology, with a maximal difference of 0.05 in $\Omega_{M}$ and 0.07 in w. This divergence is most impactful for analyses of cosmological tensions, but its impact is mitigated when combining supernovae with other cross-cutting cosmological probes, such as the cosmic microwave background.

Type
Research Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the Astronomical Society of Australia

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